Raffaella Piccarreta
I am an Associate Professor of Statistics at Bocconi University, Milan. I hold a PhD in Statistics from the University of Trento.
I am a fellow of Dondena (Centre for Research on Social Dynamics and Public Policy), of BIDSA (Bocconi Institute for Data Science and Analytics) and of the CovidCrisis Lab (Laboratory for Coronavirus Crisis Research).
I am member of the SIS (Italian Statistics Society) and of SAA (Sequence Analysis Association), and one of the members of the Executive Committee of SAA.
My work focuses on data analysis. Most of my research relates to the study of life course trajectories and events. I have a specific interest for Sequence Analysis, a technique aimed at identifying patterns in categorical longitudinal data, as well as for all the approaches to deal with this type of data.
Being very keen to cooperation, I coauthored a number of paper focused on different data. In particular, in the last year I worked on data on COVID-19.
Clustering longitudinal life-course sequences using mixtures of exponential-distance models
JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A. STATISTICS IN SOCIETY, ForthcomingHouseholds’ changing structure and consumption: the effect of the economic crisis during the period 2008-2013
RIVISTA DI STATISTICA UFFICIALE, 2018A Bayesian approach for model-based clustering of several binary dissimilarity matrices: the dmbc package in R
JOURNAL OF STATISTICAL SOFTWARE, 2021Holistic analysis of the life course: methodological challenges and new perspectives
ADVANCES IN LIFE COURSE RESEARCH, 2019For many years I taught Statistics in undergraduate programs. I also taught courses on coding, computational statistics, time series analysis, and sample design. At the moment I teach one Master course on Data Analytics and Visualisation and one Phd course on Applied Data Analysis.